Digital Twin Lab
by Hi-D Imaging
The digital twins in the cardiovascular care are important for the precise treatment of the disease. Virtual pre-procedural planning and 3D-printed based pre-procedural planning are segments of digital twin technologies for the diagnosis and treatment planning of cardiovascular diseases. Using digital twins allows healthcare shareholders to predict various scenarios in a virtual environment.
Digital Twin Lab by Hi-D Imaging is a service platform which addresses different cardiovascular disease treatment planning solutions by combining anatomy and hemodynamics. The novel invitro imaging methods, state-of-the-art computer vision techniques and artificial intelligence are the key components of our Digital Twin technology. Healthcare professionals can visualize different potential outcome scenarios using our novel digital twin platform.
What is the main focus of Digital Twin Lab?
- Structural Heart Diseases
- Aortic Stenosis
- Aortic Regurgitation
- Mitral Regurgitation
- Tricuspid Regurgitation
- Endovascular Aneurysm
- Coronary Artery Diseases
- Congenital Heart Diseases
- Arrhythmogenic Right Ventricle Cardiomyopathy
- Transcatheter Aortic Valves (TAV)
- Surgical Aortic Valves
- Mechanical Aortic Valves
- Mitral Valves
- Pulmonary Valves
- Tricuspid Valves
- Stents
- Stent-grafts
- Ventricle Assist Devices
- Left Atrial Appendage Closure Devices
- Catheters
What are the benefits of Digital Twin Lab?
- An accurate golden standard for the validation of numerical simulation studies
- Supports improving the computational simulation models
- Prediction of post-operative hemodynamics abnormalities before the operation
- Fast and efficient pre-procedural planning
- Assessing different device performances on the same anatomy
- An effortless and virtual R&D
- Hemodynamically accurate 4D flow and device performance analysis
- Allows extracting turbulence, shear stresses, energy losses, leakage, kinetic energy, washout and many flow abnormalities
- Supports R&D to improve leaflet and stents designs, stitch patterns, iterations on materials
- Supports clinical trials by improving patient selection, and improving long term performances through optimal selection
- Addresses clinically relevant questions such as commissural alignment, valve-in-valve, thrombosis, HALT, etc.
Examples
